package com.song;

import java.util.Arrays;
import java.util.List;
import java.util.regex.Pattern;

import org.apache.spark.SparkConf;
import org.apache.spark.api.java.JavaPairRDD;
import org.apache.spark.api.java.JavaRDD;
import org.apache.spark.api.java.JavaSparkContext;
import org.apache.spark.api.java.function.FlatMapFunction;
import org.apache.spark.api.java.function.Function2;
import org.apache.spark.api.java.function.PairFunction;

import scala.Tuple2;

public class WordCut {
	
	 private static final Pattern SPACE = Pattern.compile(" ");
	
	public static void main(String[] args) {
		

	    SparkConf sparkConf = new SparkConf().setAppName("JavaWordCount");
	    sparkConf.setMaster("spark://localhost:7077");
	    JavaSparkContext ctx = new JavaSparkContext(sparkConf);
	    ctx.addJar("/software/spark/spark001.jar");
	    JavaRDD<String> lines = ctx.textFile("/software/data/test", 1);

	    JavaRDD<String> words = lines.flatMap(new FlatMapFunction<String, String>() {
	      @Override
	      public Iterable<String> call(String s) {
	        return Arrays.asList(SPACE.split(s));
	      }
	    });

	    JavaPairRDD<String, Integer> ones = words.mapToPair(new PairFunction<String, String, Integer>() {
	      @Override
	      public Tuple2<String, Integer> call(String s) {
	        return new Tuple2<String, Integer>(s, 1);
	      }
	    });

	    JavaPairRDD<String, Integer> counts = ones.reduceByKey(new Function2<Integer, Integer, Integer>() {
	      @Override
	      public Integer call(Integer i1, Integer i2) {
	        return i1 + i2;
	      }
	    });

	    List<Tuple2<String, Integer>> output = counts.collect();
	    for (Tuple2<?,?> tuple : output) {
	      System.out.println(tuple._1() + ": " + tuple._2());
	    }
	    ctx.stop();
		
	}
}
